基于软件模块分析与斑块定位的瓶盖目标检测算法
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摘要
为了降低视觉检查软件的开发成本,提高软件系统项目对现场需求的对应力度和速度,提高饮料瓶质量检测率,设计了一套基于软件模块分析与斑块定位的饮料瓶盖检测系统。首先,设计并集成相机SDK采集模块、PLC控制模块、数据通信模块、视觉检查模块和整体界面框架,建立饮料瓶盖检测系统的软件框架与基础平台。然后,结合Blob图形识别和模板匹配,设计了斑块定位算子,实现针对饮料瓶盖的有无和拧紧质量检测。在QT平台开发系统,并对所提饮料瓶盖检测系统进行了测试,输出结果表明,所提出的饮料瓶盖检测系统,在软件工程性能和斑块定位准确度方面,都优于传统视觉系统。
In order to reduce the development cost of visual inspection software,improve the stress and speed of software system project to field requirements,and enhance the competitiveness of intelligent cameras,a beverage bottle cap detection system based on software module analysis and patch location is designed in this paper.Firstly,the SDK acquisition module,PLC control module,data communication module,visual inspection module and the overall interface framework are designed and integrated,and the software framework and basic platform of the beverage bottle cap detection system are established.Then,combined with Blob pattern recognition and template matching,aplaque locating operator is designed to detect the quality of bottle caps and tightening.The system is developed on the QT platform and tested on the proposed beverage bottle cap detection system.The output results show that the proposed beverage bottle cap detection system is superior to the traditional visual system in terms of software engineering performance and plaque location accuracy.
In order to reduce the development cost of visual inspection software,improve the stress and speed of software system project to field requirements,and enhance the competitiveness of intelligent cameras,a beverage bottle cap detection system based on software module analysis and patch location is designed in this paper.Firstly,the SDK acquisition module,PLC control module,data communication module,visual inspection module and the overall interface framework are designed and integrated,and the software framework and basic platform of the beverage bottle cap detection system are established.Then,combined with Blob pattern recognition and template matching,aplaque locating operator is designed to detect the quality of bottle caps and tightening.The system is developed on the QT platform and tested on the proposed beverage bottle cap detection system.The output results show that the proposed beverage bottle cap detection system is superior to the traditional visual system in terms of software engineering performance and plaque location accuracy.
引文
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[2]吴培浩,李迪,张成,等.智能相机管理系统的设计与实现[J].计算机测量与控制,2017,25(12):180-183.
[3]秦晓敏.烟条外观质量视觉检测系统的应用研究[J].机械制造与自动化,2015,44(2):220-222,225.
[4]杜劲松,高雪锋,毕欣,等.基于智能相机的箱缺条在线检测系统研究[J].机械设计与制造,2012(11):109-111.
[5]ROBERT G.Embedded machine vision system detects liquid level:Smart camera advances improve liquid level detection for medical applications[J].Vision Systems Design,2017,22(5):19-21.
[6]ACEVEDO-AVILA R.A linked list-based algorithm for blob detection on embedded vision-based sensors[J].Sensors(Basel),2018,27(3):1042-1045.
[7]赵慧.基于Blob的运动目标检测与跟踪算法研究[D].哈尔滨:哈尔滨工业大学,2016:26-43.
[8]ACEVEDO-AVILA R,GONZALEZ-MENDOZAM,GARCIA-GARCIA A.A linked list-based algorithm for blob detection on embedded vision-based sensors[J].Sensors(Basel),2016,16(6):782-791.
[9]张仰月.智能相机的视频帧队列管理程序设计与实现[J].电子世界,2018(18):110-112.
[10]潘丽杰,徐本亮,赵飞.智能相机图像后处理组件的设计[J].信息系统工程,2018(8):19-20.
[11]SATO J,AKASHI T.Deterministic crowding introducing the distribution of population for template matching[J].IEEJ Transactions on Electrical and Electronic Engineering,2018,13(3):480-488.
[13]杨江领,任建新.基于广数机器人的视觉搬运系统工作站设计[J].智能机器人,2018(4):66-68.
[14]顾锦,刘丽君.基于FPGA的智能相机设计[J].黑龙江科技信息,2016(36):90.
[15]DUC T N,PHILIP O.A novel shape-based non-redundant local binary pattern descriptor for object detection[J].Pattern Recognition,2013,46(5):1485-1500.